Literature DB >> 29351597

A systematic review of health promotion interventions to increase breast cancer screening uptake: from the last 12 years.

Feleke Doyore Agide1,2, Roya Sadeghi3, Gholamreza Garmaroudi3, Bereket Molla Tigabu4.   

Abstract

Background: The outcome of breast cancer treatment largely depends on the timing of detection. The health promotion interventions have an immense contribution to early detection and improved survival. Therefore, this review aimed to provide evidence on the efficacy of the health promotion interventions to increase the uptake of breast cancer screening and to develop effective interventions targeting women.
Methods: Online databases (PubMed/MEDLINE/PubMed Central, Ovid/MEDILINE, EMBASE, Web of Science and Google Scholar) were searched for studies published between January 2005 and January 2017. A quality coding system was assessed using Cochrane checklists for randomized controlled trial (RCT) and Downs and Black checklists for non-RCT. The score was rated for the included articles by each researcher independently and the average score is given accordingly. This study was registered in PROSPERO as [PROSPERO 2017: CRD42017060488].
Results: The review dovetailed 22 studies. Thirteen studies (59.10%) were conducted in the Unite States, 4 in Iran (18.18%), 2 in India (9.09%) and 1 each in Turkey, Saudi Arabia and Israel. The interventions were classified as 'individual-based', 'community-based', 'group-based teachings and training' and 'behavioral model based'. The majority of the studies showed favorable outcomes after health promotion interventions, including improvements in women's view of breast screening, breast self-examination and knowledge of breast screening.
Conclusion: The review confirmed that most of the health promotion interventions targeting women boosted the breast screening in one or another way. However, the limited quality of the included studies showed that further research is needed to improve the trials in the next future.

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Mesh:

Year:  2018        PMID: 29351597      PMCID: PMC6241206          DOI: 10.1093/eurpub/ckx231

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


Introduction

The global burden of breast cancer in women is enormous in the developed and the developing world. It is estimated that over 508 000 women were died in 2011 globally due to breast cancer. Its incidence is increasing in the developing world due to increased life expectancy, urbanization and adoption of western lifestyles. Although breast cancer is thought to be a disease of the developed world, almost 50% of breast cancer cases and 58% of deaths occur in less developed countries. According to the American Cancer Society in 2011, approximately 230 480 females in the United States were diagnosed with breast cancer. The death toll for that same year was estimated at 39 520 deaths. Breast cancer survival rate varies in various parts of the world. It is over 80% in North America and around 60% in Sweden and Japan but below 40% in low-income countries. The very low survival rate in less developed countries could be marked by a lack of awareness and the lack of early detection programs, which results in a high proportion of women presenting with late-stage disease, as well as by the shortage of adequate diagnosis and treatment facilities. Various risk factors for breast cancer have been well-documented. Prolonged exposure to endogenous estrogens such as early menarche, late menopause and late age at first childbirth and behavior-related factors such as oral contraceptive and hormone replacement therapy lead women to breast cancer. In fact, the variation of incidence between developed and developing countries can partly be explained by dietary effects combined with later first childbirth, lower parity and shorter breast feeding as well as the effect of globalization. A holistic approach that integrates prevention of modifiable risk factors for both breast cancer and other non-communicable diseases includes promoting a healthy diet, physical activity, control of alcohol intake, overweight and obesity could eventually have an impact in reducing the incidence of breast cancer in the long term. Many literatures confirmed the improvement in breast cancer outcome after self-examination, early detection, early diagnosis and mammography screening method. Mammography screening is very complex and resource intensive and no research of its effectiveness has been conducted in low resource settings. Therefore, this systematic review helps to provide evidence on the efficacy of health promotion interventions on breast cancer screening uptake targeting women in the various parts of the world.

Methods

Data sources, search engines and key words

A comprehensive search was carried out using PubMed/MEDLINE/PubMed Central, EMBASE, Ovid/MEDILINE, Web of Science and Google Scholar. Search terms were ‘breast’ AND ‘cancer’ AND ‘behavioral’ AND ‘intervention’ OR ‘health promotion’ AND ‘mammography’ AND ‘screening’ AND ‘uptake’. Studies published as of January 2005–2017 were searched. Reference lists of included studies were also scanned to identify additional relevant papers. All articles were published in English language. Finally, a total of 22 articles were identified. We limited our review to start from 2005 since the previous review was included the articles up to 2005 in one or another way. (((((((health[tiab]) AND promotion[tiab]) OR education[tiab]) OR intervention[tiab]) AND breast[tiab]) AND cancer[tiab]) AND screening[tiab]) AND uptake[tiab]

Study selection

Inclusion and exclusion criteria

All published eligible research articles in past 12 years (as of January 2005–2017) were included. Criteria for the inclusion of articles were: (i) articles that provided behavioral intervention or health promotion and/or education intervention to increase uptake of breast cancer screening were included; (ii) eligible participants were women of any age groups; (iii) the study involved experimental or quasi-experimental designs. The study sought to improve breast cancer screening rates and/or breast cancer knowledge and screening intentions and/or self-examinations. Exclusion criteria (i) focused on survivors of breast cancer (biomedical treatment and rehabilitation). (ii) Studies that focused on assessment/descriptive research, non-intervention studies, drugs research and studies that did not report valid outcome measures. All age groups were included in this study review since the recommendation of cancer screening test varies in developing countries to developed countries; even there is even no guideline in some countries. Two investigators then independently reviewed all located articles to confirm whether inclusion criteria were met. The rest investigators also reviewed to check its consistency.

Synthesis of results and quality assessment

In this systematic review, the authors followed the PRISMA statement rule. The authors reviewed all abstracts for inclusion. In cases of doubt based on abstracts, the articles were included for full-text articles review. The authors independently reviewed all full-text articles to confirm whether inclusion criteria were met or not. The data were synthesized in two ways: first, the study design and intervention strategies were presented for all 22 studies that met inclusion criteria. Second, the findings of each study were analyzed. The quality assessment/outcome measure criteria were imposed and the evidence on intervention effectiveness was reported for a subset of studies that reported valid outcome measures as indicated in the PRISMA flow diagram of studies (figure 1). Study designs were classified into randomized controlled trials (RCTs; including cluster RCT and randomized controlled crossover trial), quasi-experimental study or non-equivalent control group. In order to present reliable evidence on intervention effectiveness, quality assessments were conducted following the criteria Data Collection Checklist from the Cochrane EPOC guidelines. The Jadad scoring system was applied to the assessment of the quality of the included RCTs and the feasibility of creating a checklist for the assessment of the methodological quality both of randomized and non-randomized studies of health care interventions to non-RCTs. Finally, the interventions were classified as ‘individual-based’, ‘community-based’, ‘group-based teachings and training’ and ‘behavioral model based.’
Figure 1

PRISMA flow diagram for breast cancer screening articles’ selection and evaluation

PRISMA flow diagram for breast cancer screening articles’ selection and evaluation

Results

The initial literature search resulted in 1194 records through database searching for a total of 1085 unique citations. Of the 77 abstracts, 22 studies were included in this review. Ten were RCTs and 12 Quasi-RCT and non-RCT. A systematic search was detailed in PRISMA flow diagram as indicated in figure 1. The majority of the study (59.10%) were conducted in the United States (13/22), 4 in Iran (18.18%), 2 in India (9.09%) and 1 each in Turkey, Saudi Arabia and Israel (13.64%). Half of the studies were conducted at the community level and one at a religious institution. Majority of study populations were migrant women. The intervention period ranges from 3 months to 8 years with a total sample size of 16 231. The individual sample ranges from 67 to 5144. Diverse intervention strategies were used including phone calls, framed messages, training, lectures, self-test instructions, videos, DVD, pamphlets, booklets, flip charts, demonstrations, group discussions, audiovisuals, education by lay health workers, home-based education and home visits, cultural promoters education, social workers workshops, model-based personal education and screening campaigns. Most studies used multiple strategies (table 1). The quality of RCTs was assessed using Jadad method and Downs and Black checklists were used non-RCT. The rate was given using the scores 1–5. However, the RCTs scored 2 or 3, pointing that the RCTs included in this review, but, cannot be classified as being of the highest quality and are therefore subject to some degree of bias (table 2) and low quality was reported for non-RCT in table 3.
Table 1

Characteristics of health promotion intervention studies and summary of findings

First author & yearCountrySettingStudy populationStudy design and sample sizeIntervention and its descriptionsOutcome (Intervention vs. control, if applicable)
Abood et al. (2005)19USAPopulation basedWomenNonequivalent experimental design; 1104Phone calls and framed messages for intervention groups (Two female staff members on site who received all phone inquiries at the experimental public health unit and delivered the scripted loss-framed message telephonically.)Odds ratio [OR] = 1.914, χ2 = 7.48 [95%CI 1.20–3.05], P = 0.0063
Rao et al. (2005)24IndiaCommunity basedRural womenNon-randomized intervention study; 360Health education on breast cancer and BSE by trained health workers.Self-examination of the breast increased from 0 to 93% (z = −15.807; P< 0.001)
Fry et al. (2005)34USASchool basedFemale studentsRandomized education intervention study; 19790 min intervention consisted of an essay, lecture, video portraying of breast cancer, group discussions, self-test and instructions on performing BSEs for a total of 48 h.BSE a part of a regular routine (r = 0.57, P = 0.001)
Consedine et al. (2007)21USACommunity basedBlack and white womenIntervention study; 5144Telephone intervention, education and trainingIntervention vs. Control = 65.6% vs. 48.9%
Vernon et al. (2008)50USAPopulation basedwomen veteransRCT; 184A folder containing (1) a set of four educational booklets, (2) a letter for the woman to discuss mammography with health-care provider, and (3) a pamphlet about mammography screening through the Veterans AdministrationNo significant difference between intervention group and control group (P>0.05)
Gupta et al. (2009)35IndiaCommunity basedWomenPre-post Intervention study; 1000Lecture, pamphlets, flip charts and demonstration of the five step method of BSE using audio-visual aids were administrated.90.7% practiced (BSE) compared with 0% pre-test. and over all 53% vs. 43% of BSE practice
Nguyen et.al. (2009)25USApopulation basedVietnamese-American womenRCT; 1100The intervention group received two LHW educational sessions and two telephone calls. Both groups received targeted Media education.Mammography use OR = 3.14 (95% CI = 1.98, 5.01) P < 0.001)
Kim et al. (2009)30USACommunity basedKorean womenQuasi-experimental study; 300Stage model based 45-min interactive breast cancer early screening health education session (GO EARLY) in mammography use.No statistically significant intervention effect was noted on upward shift in stage of readiness for mammography use post intervention (P > 0.05)
Lindberg et al. (2009)20USAHealth care settingWomenRCT, 616A 30–45 min individual counseling session featuring BSE instruction, training and practice with silicon models, identification of barriers to BSE, and problem-solving. This intervention was followed by two brief follow-up telephone calls.BSE intervention (0–59% vs. 0–12.2%, P< 0.001)
Akhtar et al. (2010)26Saudi ArabiaHealth care settingArabic womenQuasi-experimental study; 1766Breast screening program/campaigns via media channels, newspapers, exhibitions, lectures, information stalls, and posters. Awareness with interactive educational sessions.18% of the total population participated in mammogram screening, with high recall rate (31.6 %)
Arshad et al. (2011)37USACommunity basedAmerican-Arabic womenQuasi-experimental study; 100Educational interventions are delivered by community health workers at their home together with their adult female family membersBSE and mammogram use regardless of their language preference [OR = 0.15; 95% CI = 0.04–0.50; (OR = 0.15; 95% CI = 0.04, 0.54, P < 0.05)]
Cohen et al. (2010)38IsraelCommunity basedIsraeli-Arabic WomenQuazi experimental controlled before and after design; 67A religious and cultural promoter’s involved training was given for six months by trained social worker on culture-specific barriers and misconceptions.Intervention group vs. control group (48 % vs. 12.5%)
Bowen et al. (2011)23USAPopulation- basedwomenRCT; 1354Telephone calls.; Web/Internet interventionMammography in the last year intervention (69–82% vs. 71% as it is) and BSE Intervention (40–62% vs. 41–41%)
Engelman et al. (2011)22USAHealth care settingWomenRCT, N = 290One to one education delivered in person by community health workers. Follow-up telephone calls.Intervention group vs. control (25–30% vs. 15% to no change )
Hajian et al. (2011)31IranCommunity basedWomenRCT; 100HBM constructs based intervention (well-known psychological theories health education for breast cancer screening)Intervention group vs. control [41–82%; vs. 31–62%; P = 0.021 and (x2= 5.6, P = 0.12)]
Ayash et al. (2011)27USACommunity basedWomenQuasi-experimental study; 597Workshops, community-based participatory approach and cultural responsiveness trainings sticking to individual level risks in Arabic language.68% reported increased understanding of cancer screening, and 29% increase in screening
Dallo et al. (2011)38USAHealth care settingWomenQuasi-experimental study, 866Bilingual educational intervention along with physical examination and screeningCancer knowledge increased after intervention compared with prior to the intervention (P<0.05)
Eskandari-Torbaghan et al. (2014)28IranUniversityFemale StaffsRandomized controlled trial; 130Educational intervention and training based on health belief model (perceived susceptibility, perceived benefits, and perceived barriers as well as in practice)Behavior scores increased by 18% [1.21 (±2.54) vs. 0.15(±2.94), P < 0.05]
Khalili et al. (2014)39IranCommunity basedWomenQuasi experimental study, 144Three sessions of training were held for case group and every session contained 1 h training.Cases to control mean score of knowledge improved (11.7–21.81; P < 0.001)
Rahman et al. (2014)33USAReligious institutionsKorean Americans Women coupleRCT; 428The intervention group slogan was ‘Healthy Family, Healthy Wife’ and the control group slogan was ‘Healthy Family, Healthy Diet’ emphasize on breast screening or healthy diet. The intervention group 30-minute Korean-language DVD on breast screening, group discussion immediately after the video; couple to complete a discussion activity at homeThere is no significant difference between the two groups (P > 0.05). Both intervention groups have significantly increased (P<0.05)
Taymoori, et al. (2015)32IranCommunity basedIranian womenRCT; 184Health belief model and theory of planned behavior based health educationA significant intervention effect was identified (P < 0.0001)
Tuzcu et al. (2016)29TurkeyCommunity basedMigrant womenQuasi-experimental study; 200Health behavior models based training in BSE and mammography was displayed visually in the film. TRAINING: demonstrated proper palpation using the breast model. Two different reminder cards BSE card, breast cancer screening methods card) and an invitation card and demonstrated proper palpation using the breast modelIncreased the rate of BSE 0.8 times and the rate of mammography 0.7 times. An increase of each unit in health motivation increased the rate of clinical breast examination 1.3 times and the rate of mammography 1.5 times
Table 2

Jadad assessment criteria for quality assessment of RCTs

ArticlesJadad quality criteriaTotal scores
RandomizationMethod of Randomization describedDouble blindedMethod of double blinded describedWithdrawals and dropouts described
Bowen et al. (2011)2311NRNR13
Engelman et al. (2011)2211NRNR13
Eskandari-Torbaghan et al. (2014)281NRNRNR12
Fry (2005)3411NRNR13
Hajian et al. (2011)311NRNRNR12
Lindberg et al. (2009)2011NRNR13
Rahman et al. (2014)3311NRNR13
Vernon et al. (2008)501NRNRNR12
Taymoori et al. (2015)3211NRNR13
Nguyen et al. (2009)2511NRNR13

Note: 1= Yes; 0 = No; NR, not reported.

Table 3

Shows downs and black checklist for assessing the quality of non-randomized trials and quazi-experimental studies

ArticlesDowns and black criteria for non-RCTTotal score (Total points/27)
Reporting (10 points)External validity (3 points)Bias (7 points)Confounding (6 points)Power (1 point)
Abood et al. (2005)19813300.56
Akhta et al. (2010)26422300.41
Arshad et al. (2011)37614200.48
Ayash et al. (2011)27712200.44
Cohen (2010)36613200.44
Consedine et al. (2007)21513100.37
Dallo et al. (2011)38733400.63
Gupta et al. (2009)35734400.67
Khalili et al. (2014)39713200.48
Kim (2009)30613200.44
Rao et al. (2005)24724200.52
Tuzcu et al. (2016)29713200.48

Note: 1= Yes; 0 = No; 0 = unable to determine.

Characteristics of health promotion intervention studies and summary of findings Jadad assessment criteria for quality assessment of RCTs Note: 1= Yes; 0 = No; NR, not reported. Shows downs and black checklist for assessing the quality of non-randomized trials and quazi-experimental studies Note: 1= Yes; 0 = No; 0 = unable to determine. In this review, multiple and highly diversified interventions were included. Thus, explaining or estimating the effects of each intervention strategy might be difficult in such cases. Therefore, evidence that supports the overall effectiveness of the intervention programs and strategies were reported instead of individual interventions. The highlight of each intervention was discussed as follows.

Individual-based interventions

Phone calls and message-framed interventions

A study from USA found that there was dramatically significant increase in mammography use among medically un- or underinsured women to support the evidence of loss-framed message and phone calls ([OR] = 1.914 [95%CI 1.20–3.05], P =0 .0063). Similarly, the studies from Portland Oregon and Iran, indicated that phone calls with lay health advisors and phone call with education intervention had significantly increased in interventional group and correlated with making breast self-examination (BSE) as a part of a regular schedule (r = 0.57, P = 0.001) and with performing BSEs on an irregular basis (r = 0.38, P = 0.02). Health education delivered in person (one to one education) by community health worker through follow up telephone calls and web based intervention had significantly increased the screening uptake.

Community-based interventions

A community-based educational intervention through demonstration of BSE stressing on thoroughness and the recommended technique significantly increased the overall awareness regarding breast cancer screening (z = −15.807; P < 0.001) as well as in the performance of self-examination of the breast increased from 0% to93% in Indian women. In contrast, an intervention through the targeted component consisted of a folder containing educational booklets, a letter for the woman from health-care provider, and a pamphlet about mammography screening services had resulted in no significant difference between intervention group and control group by Cox modeling; however, analysis using logistic regression produced odds ratios (ORs) that were consistently higher than the corresponding hazard rate ratios for both coverage and compliance (ORs = 1.15–1.29). Integrating multiple methods to convey breast cancer screening campaign such as newspapers, exhibitions, lectures, information stalls and posters had significantly increased mammography use in 2009 study (OR= 3.14 (95% CI = 1.98, 5.01) and in numerical screening values.

Group-based teachings and training

Health education model-based interventions

Health belief model and theory of planned behavior based health education on BSE and mammography displayed visually in the film and demonstrated proper palpation using the breast model increased behavior scores by 18% (1.21 (+ 2.54) vs. 0.15(+2.94), P < 0.05). However, stage model based interactive breast cancer early screening health education session (GO EARLY) in mammography use had no statistically significant effect on the upward shift in stage of readiness for mammography use post intervention (P > 0.05) in Korean women, USA and other countries like Iran.

Interventions using video, visuals and audio-visuals

The intervention including couples vs. diet emphasizing the importance of the husband’s support in promoting family health by encouraging breast cancer screening or healthy diet through mass media plus DVD plus late group discussions at home did not show significant effect in screening (P > 0.05). An Indian study revealed the use of lecture, pamphlets, flip charts and demonstration of the five-step method of BSE using audio-visual increased BSE practice by 90.7% compared to 0% pre-test and the BSE practice overall increment was 53–43%.

Religious, cultural promoters and lay workers

A study from Israel on Arabic women found that culture-based interventions increased the rate of attending for clinical examination and mammography [intervention group vs. the control group (48% vs. 12.5%)]. The training involving both religious and cultural health promoters by trained social and community health workers at home together with adult female members had a significant effect on BSE and mammography use [OR = 0.15; 95% CI = 0.04–0.50; (OR = 0.15; 95% CI = 0.04, 0.54, P < 0.05)]. Thus, the overall aim of the interventions to increase the uptake of screening through a variety of health promotion strategies by integrating and increasing the awareness of health care professionals, community, lay health workers and community stakeholders was almost successful.

Discussion

The review confirmed that the most common health promotion interventions in breast cancer initiatives targeting women boosted the breast cancer screening in one or another way. However, heterogeneity between the trials limited the statistical pooling of data. Evidence regarding the effectiveness of other interventions such as behavioral interventions, counseling and risk factor assessment was limited by the number of included trials and their moderate or high risk of bias. Tables 2 and 3 show the evaluation criteria reported from the selected studies. These characteristics must be interpreted with caution, as they by no means give the full picture of indicators used in health promotion interventions. Therefore, it is difficult to arrive at a conclusive and generalizable conclusion on the effectiveness of any particular intervention., To this end, the evidence shows that effectiveness in boosting screening uptake is greatest for the simple to administer interventions, rather than in depth ones. These tend to be the ‘individual-based’ category, e.g. methods of invitation women. Indeed, most interventions were of the individual based category.,,, This might be, partly, because these interventions are easier to carry out and evaluate than those of the other categories. The different categories of intervention such as individual-based, community-based and mixed or multi-strategy were taken to conceptualize these interventions in understanding the effectiveness of them and how they fit into the present screening system. A review of interventions to increase breast screening focused on women lifespan and ethnicity issues in the United States studies had shown similar implications. Individual level framed message and phone calls are contemporary technologies used in facilitating several interventions and noted in boosting of screening uptake in this review in USA and Indian studies. This is also supported by Lu et al. systematic review of interventions to increase breast and cervical cancer screening uptake among Asian women. Behavioral model based behavioral interventions like stage model and health belief model mainly developed to intrapersonal communication in their intention but further explicit implication seen in individual level intervention boosted screening in this review. and in various findings.41–44 The intervention including couples with diet emphasizing the importance of the husband’s support by encouraging breast cancer screening uptake was more effective than the interventions focusing on healthy diet through mass media at home did not show an effect in screening (Korean women). The evidence from the other studies did not support the effectiveness of complex community level interventions.,41–46 Lecture, pamphlets, flip charts and demonstration of the method of BSE using audio-visuals were increased BSE. This evidence was supported by a number of western groups and individual model-based intervention studies though their focus was not only on primary prevention.,44,47,48 A community level educational intervention emphasizing religious, cultural promoters and lay workers boosted overall awareness regarding breast cancer screening as well as the performance of self-examination (in Indian women, USA migrants). For breast cancer screening, evidence was found to support the effectiveness of the following intervention strategies: community-based group education plus culturally sensitive educational materials plus physician consultations.,,44,49 In contrast, an intervention based on the targeted component consisted of a folder containing a set of four educational booklets, a letter for the woman to use to discuss mammography with her health-care provider, and a pamphlet about mammography screening services had no significant difference between intervention group and control group.50 However, compared with the literature of screening intervention on general Caucasian population, the patterns of intervention design and results of effectiveness with those observed from the literature targeting general Caucasian population tend to be more heterogeneous. This is in line with the complexity and challenges in interventions targeting ethnic groups.45,49 For sure, many western group and community-based interventions did not show a clear recommendation for further use.,44,51,52 Surprisingly, almost all studies included were from western countries, but no studies appeared in search engine from African countries. The African studies might focus more on problem definition than recognizing the value of interventions. If so, health promotion researchers should appreciate the value of the interventions rather than giving problem definition and simply assessing the already answered questions. This review has several limitations. Primarily, it includes only English language published articles and it did not give any room for studies published in other languages and also did not include gray literature that may have overlooked this valuable information. Secondly, the majority of the researches were conducted in the United States on migrant women. This might lead us to refrain from generalizing the specific countries set-up and might be different in permanent residents of the countries linked to cultural differences, access to services and health care system especially issues related to access to breast cancer screening and even affordability of the cost. In conclusion, although there were noted differences across studies, most studies in this review noted favorable outcomes after health promotion interventions including improvements in participants' view of breast screening, BSE skill, and satisfaction with breast cancer screening educational interventions. Benefits were seen in different resident populations and using both general and specific scenarios. Our results confirmed that the most common health promotion intervention in breast cancer initiatives targeting women boosted the breast cancer screening in one or another way. It is likely that other methods are advantageous, but the evidence is not as strong. Research on breast screening uptake has clearly moved on from the problem definition stage to the next phase of assessing the value of interventions. However, the limited quality of the included studies showed that further research is required to develop simple and effective intervention to improve the trials in the next future.

Conflicts of interest: None declared. To provide evidence on the effectiveness of the health promotion interventions. To find research gap and to improve knowledge in the field of health education. To develop effective interventions targeting women. To develop guidelines important for breast screening uptake. To see professional contribution in the field of health promotion. Click here for additional data file.
  36 in total

1.  Loss-framed minimal intervention increases mammography use.

Authors:  Doris A Abood; David R Black; Daniel C Coster
Journal:  Womens Health Issues       Date:  2005 Nov-Dec

2.  The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions.

Authors:  S H Downs; N Black
Journal:  J Epidemiol Community Health       Date:  1998-06       Impact factor: 3.710

3.  The Global Burden of Cancer 2013.

Authors:  Christina Fitzmaurice; Daniel Dicker; Amanda Pain; Hannah Hamavid; Maziar Moradi-Lakeh; Michael F MacIntyre; Christine Allen; Gillian Hansen; Rachel Woodbrook; Charles Wolfe; Randah R Hamadeh; Ami Moore; Andrea Werdecker; Bradford D Gessner; Braden Te Ao; Brian McMahon; Chante Karimkhani; Chuanhua Yu; Graham S Cooke; David C Schwebel; David O Carpenter; David M Pereira; Denis Nash; Dhruv S Kazi; Diego De Leo; Dietrich Plass; Kingsley N Ukwaja; George D Thurston; Kim Yun Jin; Edgar P Simard; Edward Mills; Eun-Kee Park; Ferrán Catalá-López; Gabrielle deVeber; Carolyn Gotay; Gulfaraz Khan; H Dean Hosgood; Itamar S Santos; Janet L Leasher; Jasvinder Singh; James Leigh; Jost B Jonas; Jost Jonas; Juan Sanabria; Justin Beardsley; Kathryn H Jacobsen; Ken Takahashi; Richard C Franklin; Luca Ronfani; Marcella Montico; Luigi Naldi; Marcello Tonelli; Johanna Geleijnse; Max Petzold; Mark G Shrime; Mustafa Younis; Naohiro Yonemoto; Nicholas Breitborde; Paul Yip; Farshad Pourmalek; Paulo A Lotufo; Alireza Esteghamati; Graeme J Hankey; Raghib Ali; Raimundas Lunevicius; Reza Malekzadeh; Robert Dellavalle; Robert Weintraub; Robyn Lucas; Roderick Hay; David Rojas-Rueda; Ronny Westerman; Sadaf G Sepanlou; Sandra Nolte; Scott Patten; Scott Weichenthal; Semaw Ferede Abera; Seyed-Mohammad Fereshtehnejad; Ivy Shiue; Tim Driscoll; Tommi Vasankari; Ubai Alsharif; Vafa Rahimi-Movaghar; Vasiliy V Vlassov; W S Marcenes; Wubegzier Mekonnen; Yohannes Adama Melaku; Yuichiro Yano; Al Artaman; Ismael Campos; Jennifer MacLachlan; Ulrich Mueller; Daniel Kim; Matias Trillini; Babak Eshrati; Hywel C Williams; Kenji Shibuya; Rakhi Dandona; Kinnari Murthy; Benjamin Cowie; Azmeraw T Amare; Carl Abelardo Antonio; Carlos Castañeda-Orjuela; Coen H van Gool; Francesco Violante; In-Hwan Oh; Kedede Deribe; Kjetil Soreide; Luke Knibbs; Maia Kereselidze; Mark Green; Rosario Cardenas; Nobhojit Roy; Taavi Tillmann; Taavi Tillman; Yongmei Li; Hans Krueger; Lorenzo Monasta; Subhojit Dey; Sara Sheikhbahaei; Nima Hafezi-Nejad; G Anil Kumar; Chandrashekhar T Sreeramareddy; Lalit Dandona; Haidong Wang; Stein Emil Vollset; Ali Mokdad; Joshua A Salomon; Rafael Lozano; Theo Vos; Mohammad Forouzanfar; Alan Lopez; Christopher Murray; Mohsen Naghavi
Journal:  JAMA Oncol       Date:  2015-07       Impact factor: 31.777

4.  Evaluating the knowledge of breast cancer screening and prevention among Arab-American women in Michigan.

Authors:  Samia Arshad; Karen Patricia Williams; Athur Mabiso; Subhojit Dey; Amr S Soliman
Journal:  J Cancer Educ       Date:  2011-03       Impact factor: 2.037

5.  Effects of a Randomized Controlled Trial to Increase Repeat Mammography Screening in Iranian Women.

Authors:  Parvaneh Taymoori; Yamile Molina; Daem Roshani
Journal:  Cancer Nurs       Date:  2015 Jul-Aug       Impact factor: 2.592

6.  Clinical breast examination: preliminary results from a cluster randomized controlled trial in India.

Authors:  Rengaswamy Sankaranarayanan; Kunnambath Ramadas; Somanathan Thara; Richard Muwonge; Jem Prabhakar; Paul Augustine; Muraleedharan Venugopal; Gopan Anju; Beela Sara Mathew
Journal:  J Natl Cancer Inst       Date:  2011-08-23       Impact factor: 13.506

7.  Effects of a psychosocial intervention on breast self-examination attitudes and behaviors.

Authors:  Rachel B Fry; Steven Prentice-Dunn
Journal:  Health Educ Res       Date:  2005-10-21

8.  Cancer knowledge increases after a brief intervention among Arab Americans in Michigan.

Authors:  Florence J Dallo; Tabitha Zakar; Luisa N Borrell; Monty Fakhouri; Hikmet Jamil
Journal:  J Cancer Educ       Date:  2011-03       Impact factor: 2.037

9.  Breast cancer epidemiology according to recognized breast cancer risk factors in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial Cohort.

Authors:  James V Lacey; Aimee R Kreimer; Saundra S Buys; Pamela M Marcus; Shih-Chen Chang; Michael F Leitzmann; Robert N Hoover; Philip C Prorok; Christine D Berg; Patricia Hartge
Journal:  BMC Cancer       Date:  2009-03-17       Impact factor: 4.430

Review 10.  Screening for new primary cancers in cancer survivors compared to non-cancer controls: a systematic review and meta-analysis.

Authors:  Mark Corkum; Jill A Hayden; George Kephart; Robin Urquhart; Coralynne Schlievert; Geoffrey Porter
Journal:  J Cancer Surviv       Date:  2013-05-05       Impact factor: 4.442

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  14 in total

1.  Epidemiology of cancer in Saudi Arabia thru 2010-2019: a systematic review with constrained meta-analysis.

Authors:  Wedad Saeed Alqahtani; Nawaf Abdulrahman Almufareh; Dalia Mostafa Domiaty; Gadah Albasher; Manal Abduallah Alduwish; Huda Alkhalaf; Bader Almuzzaini; Salma Sanhaat Al-Marshidy; Rgya Alfraihi; Abdelbaset Mohamed Elasbali; Hussain Gadelkarim Ahmed; Bassam Ahmed Almutlaq
Journal:  AIMS Public Health       Date:  2020-09-11

2.  Modelling tool to support decision-making in the NHS Health Check programme: workshops, systematic review and co-production with users.

Authors:  Martin O'Flaherty; Ffion Lloyd-Williams; Simon Capewell; Angela Boland; Michelle Maden; Brendan Collins; Piotr Bandosz; Lirije Hyseni; Chris Kypridemos
Journal:  Health Technol Assess       Date:  2021-05       Impact factor: 4.014

3.  Knowledge of symptoms and risk factors of breast cancer among women: a community based study in a low socio-economic area of Mumbai, India.

Authors:  Ranjan Kumar Prusty; Shahina Begum; Anushree Patil; D D Naik; Sharmila Pimple; Gauravi Mishra
Journal:  BMC Womens Health       Date:  2020-05-18       Impact factor: 2.809

4.  How do reproductive age women perceive breast cancer screening in Ethiopia? A qualitative study.

Authors:  Feleke Doyore Agide; Gholamreza Garmaroudi; Roya Sadeghi; Elham Shakibazadeh; Mehdi Yaseri; Zewdie Birhanu Koricha
Journal:  Afr Health Sci       Date:  2019-12       Impact factor: 0.927

5.  Temporal trends and regional disparities in cancer screening utilization: an observational Swiss claims-based study.

Authors:  Caroline Bähler; Beat Brüngger; Agne Ulyte; Matthias Schwenkglenks; Viktor von Wyl; Holger Dressel; Oliver Gruebner; Wenjia Wei; Eva Blozik
Journal:  BMC Public Health       Date:  2021-01-05       Impact factor: 3.295

6.  The Effectiveness of Educational Interventions on Breast Cancer Screening Uptake, Knowledge, and Beliefs among Women: A Systematic Review.

Authors:  Sarah Noman; Hayati Kadir Shahar; Hejar Abdul Rahman; Suriani Ismail; Musheer Abdulwahid Al-Jaberi; Meram Azzani
Journal:  Int J Environ Res Public Health       Date:  2020-12-31       Impact factor: 4.614

7.  An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel: Development and usability study.

Authors:  Cheng-Yao Lin; Tsair-Wei Chien; Yen-Hsun Chen; Yen-Ling Lee; Shih-Bin Su
Journal:  Medicine (Baltimore)       Date:  2022-01-28       Impact factor: 1.889

8.  Cancer Screening Knowledge and Behavior in a Multi-Ethnic Asian Population: The Singapore Community Health Study.

Authors:  Tyson Kin-Chung Chan; Linda Wei Lin Tan; Rob M van Dam; Wei Jie Seow
Journal:  Front Oncol       Date:  2021-08-12       Impact factor: 6.244

9.  Breast Self-Examination Practice Among Female University Students in Ethiopia: A Systematic Review and Meta-Analysis.

Authors:  Ayelign Mengesha Kassie; Biruk Beletew Abate; Mesfin Wudu Kassaw; Wondimeneh Shibabaw Shiferaw
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

10.  Likelihood of Breast Screening Uptake among Reproductive-aged Women in Ethiopia: A Baseline Survey for Randomized Controlled Trial.

Authors:  Feleke Doyore Agide; Gholamreza Garmaroudi; Roya Sadeghi; Elham Shakibazadeh; Mehdi Yaseri; Zewdie Birhanu Koricha
Journal:  Ethiop J Health Sci       Date:  2019-09
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